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BigCodeBench / BigCodeBench v0.1.0_hf 4dd51cbf-6d40-5cb4-8991-df108d6cbaca

Problem

Answer published by the source. Consult the official source to check your work against its answer.

complete prompt

import numpy as np
from scipy.stats import norm
import matplotlib.pyplot as plt

def task_func(length):
    """
    Create a normal distribution with a given length, plot its histogram alongside the 
    probability density function, and return the distribution and the plot.
    
    Parameters:
    - length (int): The length of the distribution to be generated.
    
    Returns:
    - tuple: A tuple containing:
        1. numpy array with the normal distribution.
        2. matplotlib Axes object representing the plot.
    
    Requirements:
    - numpy
    - scipy.stats.norm
    - matplotlib.pyplot
    
    Note:
    - This function use this constant MU (mean): 0, SIGMA (standard deviation): 1
    
    Example:
    >>> np.random.seed(0)
    >>> distribution, ax = task_func(1000)
    >>> print(type(distribution))
    <class 'numpy.ndarray'>
    >>> len(ax.get_lines())
    1
    >>> plt.close()
    """

instruct prompt

Create a normal distribution with a given length, plot its histogram alongside the probability density function, and return the distribution and the plot.
Note that: This function use this constant MU (mean): 0, SIGMA (standard deviation): 1
The function should output with:
    tuple: A tuple containing:
    1. numpy array with the normal distribution.
    2. matplotlib Axes object representing the plot.
You should write self-contained code starting with:

Code

import numpy as np
from scipy.stats import norm
import matplotlib.pyplot as plt
def task_func(length):

code prompt

Code

import numpy as np
from scipy.stats import norm
import matplotlib.pyplot as plt
def task_func(length):

entry point

task_func

libs

  • numpy
  • matplotlib
  • scipy

Discussion

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Source and history

task_id
4dd51cbf-6d40-5cb4-8991-df108d6cbaca
task_key
default--v0~2e1~2e0~5fhf--4dd51cbf-6d40-5cb4-8991-df108d6cbaca
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import